AI Physics Review
Submission Process
AI Physics Review (AIPR) does not accept direct manuscript uploads through this website. All submissions must first be deposited on Zenodo, an open research repository operated by CERN. Zenodo serves as the intake channel used by AIPR to assemble evaluation cohorts for potential inclusion in future issues of the Review.
Manuscripts must be submitted in a self-contained, evaluatable format The analytical framework, governing equations, assumptions, and logical derivations must be present within the submitted manuscript itself. Artifacts that rely primarily on external datasets, collections of independent HTML pages, animation archives, or other distributed materials cannot be structurally evaluated unless the complete analytical framework is documented in a single manuscript.
After depositing a manuscript on Zenodo, authors may request inclusion in the AI Physics Review Zenodo community. Manuscripts included in the community may become eligible for structural evaluation under the AIPR evaluation protocol.
How to Submit
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Deposit your manuscript on Zenodo.
Upload the paper as a public record on Zenodo. The manuscript should present a clearly defined research question, explicit assumptions, and a traceable analytical or theoretical structure. -
Publish the Zenodo record.
Once the manuscript is publicly released on Zenodo, it becomes part of the permanent research archive and may be referenced by the AIPR evaluation system. -
Request inclusion in the AIPR community.
After publication, request that the record be added to the AI Physics Review community on Zenodo. Community inclusion serves as the intake channel for potential evaluation. -
Evaluation eligibility.
Manuscripts that satisfy the structural readiness and stability requirements described below may become eligible for evaluation cohorts assembled for future issues of AI Physics Review.
Structural Readiness Requirements
Manuscripts included in the community are screened using the MEALS structural framework, which evaluates five dimensions of analytical presentation:
| Gate | Evaluation Category | Weight |
|---|---|---|
| M | Mathematical formalism | 3 |
| E | Equation and dimensional integrity | 3 |
| A | Assumption clarity | 2 |
| L | Logical traceability | 2 |
| S | Scope coverage | 1 |
Each dimension contributes to a composite structural readiness score. To qualify for inclusion in the AI Physics Review community, manuscripts must achieve a minimum MEALS score of 32.
This threshold serves only as a minimum structural filter. Meeting the threshold does not guarantee inclusion in an issue of the Review.
Program Stability Requirements
Because the evaluation protocol analyzes developed research programs rather than early drafts, manuscripts must also satisfy minimum stability conditions before becoming eligible for evaluation.
Eligible manuscripts must:
- be at least 90 days old from the date of their first public release
- have no more than 6 versions published within the preceding 3 months
- have no more than 20 versions published within the preceding 6 months
These limits help ensure that submitted work represents a relatively stable research program rather than a rapidly evolving draft cycle.
Evaluation and Selection
Manuscripts included in the AIPR community may be evaluated as part of defined cohorts assembled for future issues of AI Physics Review.
The evaluation system performs a deterministic structural audit of the manuscript’s analytical organization. Author identity, institutional affiliation, citation counts, and theoretical popularity are not considered.
Within each cohort, manuscripts demonstrating the strongest structural readiness may be selected for inclusion in the Review. Selection is procedural rather than editorial and depends only on the structural characteristics of the manuscript. During the initial demonstration phase, some issues may also include publicly available papers selected to illustrate the evaluation framework. The submission pathway described here is the standard intake route for routine consideration in future issues.
Important Notes
- Inclusion in the community does not constitute peer review.
- Inclusion does not imply endorsement, certification, or validation of the work.
- The evaluation protocol measures structural presentation rather than scientific correctness.
- Authors retain full ownership of their work and may update their Zenodo records at any time, subject to Zenodo’s archival policies.
Further details of the evaluation protocol are available in the Methodology section of this website.